07-Array Operations Part 2 text: Chapter Overview
|
|
- Domenic Lambert
- 6 years ago
- Views:
Transcription
1 07-rray Operations Part tet: Chapter.-.7 ECEGR 101 Engineering Problem Solving with Matlab Professor Henry Louie Overview Identity Matri Matri Inversion Linear Systems of Equations Element-by-Element Operations Dr. Henry Louie 1
2 Identity Matri Identity matri, I, is the matri equivalent of scalar multiplication by 1 I I I is simply a square matri (number of rows = number of columns) with 1s on the diagonal Dr. Henry Louie Identity Matri Built-in function to create the Identify Matri is the size of the matri Dr. Henry Louie
3 Inverse of a Matri Matri B is an inverse of if *B=B*=I. To find an inverse of, use the inv function. and B have to be square. Notation: -1. Dr. Henry Louie 5 Inverse of a Matri Dr. Henry Louie 6
4 Inverse of a Matri: Determinant Conditions for the eistence of an inverse: has to be square, Its determinant must be nonzero. a a 11 1 a a 1 det a a a a To calculate the determinant, use the MTLB function det. Dr. Henry Louie 7 Inverse of a Matri: Determinant Dr. Henry Louie 8
5 System of Linear Equations B B 1 B B B B B B 1 X B Dr. Henry Louie 9 System of Linear Eqs. How can we solve X=B? -1 X= -1 B IX= -1 B X= -1 B solution equivalent to X = \B Dr. Henry Louie 10 5
6 System of Linear Eqs. How can we solve XC=D? XCC -1 =DC -1 XI=DC -1 X=DC -1 solution equivalent to X = D/C Used infrequently! Dr. Henry Louie 11 Solve the following system of linear equations: 1 + = = 5 Dr. Henry Louie 1 6
7 Solve the following system of linear equations: 1 + = = 5 Dr. Henry Louie 1 Element-By-Element Operations Carried out on each array element separately: multiplication:.* eponent:.^ right division:./ left division:.\ Dr. Henry Louie 1 7
8 Element-By-Element Operations Calculates values of the function y= -9 for integer between 1 and 10. Dr. Henry Louie 15 Create the following arrays: = [1 5]; and y = [ ]; What operation do you have to perform to get as the result [ ]? Dr. Henry Louie 16 8
9 Create the following arrays: = [1 5]; and y = [ ]; What operation do you have to perform to get as the result [ ]? >>.*y ans = Dr. Henry Louie 17 ssume that a, b, c, and d are following epressions? a) a + b b) a.* b c) a * b d) a * c e) a + c f) a + d g) a.* d h) a * d Dr. Henry Louie 18 9
10 ssume that a, b, c, and d are following epressions? a) a + b Dr. Henry Louie 19 ssume that a, b, c, and d are following epressions? b) a.* b Dr. Henry Louie 0 10
11 ssume that a, b, c, and d are following epressions? c) a * b Dr. Henry Louie 1 ssume that a, b, c, and d are following epressions? d) a * c Dr. Henry Louie 11
12 ssume that a, b, c, and d are following epressions? e) a + c Dr. Henry Louie ssume that a, b, c, and d are following epressions? f) a + d Dr. Henry Louie 1
13 ssume that a, b, c, and d are following epressions? g) a.* d Dr. Henry Louie 5 ssume that a, b, c, and d are following epressions? h) a * d Dr. Henry Louie 6 1
14 ssume that a, b, c, and d are following epressions? h) a * d Dr. Henry Louie 7 If C and F are Celsius and Fahrenheit temperatures, respectively, the formula for conversion from Celsius to Fahrenheit is F = 9C/5 +. Use vector operations to compute and display the Fahrenheit equivalent of Celsius temperatures ranging from 0 to 0 in steps of 1. Dr. Henry Louie 8 1
15 >> C = 0:1:0 C = >> F = 9*C/5 + F = Columns 1 through Columns 8 through Dr. Henry Louie 9 Compute z given the following values for b, c and n: b = c = 10 n = [1 5] b z c n Dr. Henry Louie 0 15
16 Compute z given the following values for b, c and n: b = c = 10 n = [1 5] >> b = ; c = 10; n = 1:5; b z c n n b >> z = b.^n z = 8 16 [1 5] [ 1 5 ] >> z = b.^n/c z = Dr. Henry Louie 1 Compute z given the following values for b, c and n: b = c = [1 5] n = b z c n Dr. Henry Louie 16
17 Compute z given the following values for b, c and n: b = c = [1 5] n = >> b = ; c = 1:5; n = ; b z c 8 [1 5] >> z = b^n./c z = n >> z = b^n/c??? Error using ==> mrdivide Matri dimensions must agree. Dr. Henry Louie Compute z given the following values for b, c and n: b = [1 5] c = 10 n = b z c n Dr. Henry Louie 17
18 Compute z given the following values for b, c and n: b = [1 5] c = 10 n = >> b = 1:5; c = 10; n = ; >> b.^n ans = [1 5] b z c [1 n 5 ] >> z = b.^n/c z = Dr. Henry Louie 5 18
Topic 3. Matrix Operations Matrix & Linear Algebra Operations Element-by-Element(array) Operations
Topic 3 Matrix Operations Matrix & Linear Algebra Operations Element-by-Element(array) Operations 1 Introduction Matlab is designed to carry out advanced array operations that have many applications in
More informationMATRICES. a m,1 a m,n A =
MATRICES Matrices are rectangular arrays of real or complex numbers With them, we define arithmetic operations that are generalizations of those for real and complex numbers The general form a matrix of
More informationNumerical Methods Lecture 2 Simultaneous Equations
CGN 42 - Computer Methods Numerical Methods Lecture 2 Simultaneous Equations Topics: matrix operations solving systems of equations Matrix operations: Adding / subtracting Transpose Multiplication Adding
More informationLinear Equations in Linear Algebra
1 Linear Equations in Linear Algebra 1.1 SYSTEMS OF LINEAR EQUATIONS LINEAR EQUATION,, 1 n A linear equation in the variables equation that can be written in the form a a a b 1 1 2 2 n n a a is an where
More informationM 340L CS Homework Set 1
M 340L CS Homework Set 1 Solve each system in Problems 1 6 by using elementary row operations on the equations or on the augmented matri. Follow the systematic elimination procedure described in Lay, Section
More informationLinear Algebra II (finish from last time) Root finding
Lecture 5: Topics: Linear lgebra II (finish from last time) Root finding -Cross product of two vectors -Finding roots of linear equations -Finding roots of nonlinear equations HW: HW 1, Part 3-4 given
More informationLinear Algebra. Solving SLEs with Matlab. Matrix Inversion. Solving SLE s by Matlab - Inverse. Solving Simultaneous Linear Equations in MATLAB
Linear Algebra Solving Simultaneous Linear Equations in MATLAB Solving SLEs with Matlab Matlab can solve some numerical SLE s A b Five techniques available:. method. method. method 4. method. method Matri
More informationOperation. 8th Grade Math Vocabulary. Solving Equations. Expression Expression. Order of Operations
8th Grade Math Vocabulary Operation A mathematical process. Solving s _ 7 1 11 1 3b 1 1 3 7 4 5 0 5 5 sign SOLVING EQUATIONS Operation The rules of which calculation comes first in an epression. Parentheses
More informationMATH 2050 Assignment 8 Fall [10] 1. Find the determinant by reducing to triangular form for the following matrices.
MATH 2050 Assignment 8 Fall 2016 [10] 1. Find the determinant by reducing to triangular form for the following matrices. 0 1 2 (a) A = 2 1 4. ANS: We perform the Gaussian Elimination on A by the following
More informationTOPIC 2 Computer application for manipulating matrix using MATLAB
YOGYAKARTA STATE UNIVERSITY MATHEMATICS AND NATURAL SCIENCES FACULTY MATHEMATICS EDUCATION STUDY PROGRAM TOPIC 2 Computer application for manipulating matrix using MATLAB Definition of Matrices in MATLAB
More informationState Estimation Introduction 2.0 Exact Pseudo-measurments
State Estimation. Introduction In these notes, we eplore two very practical and related issues in regards to state estimation: - use of pseudo-measurements - network observability. Eact Pseudo-measurments
More informationMath for ML: review. Milos Hauskrecht 5329 Sennott Square, x people.cs.pitt.edu/~milos/courses/cs1675/
Math for ML: review Milos Hauskrecht milos@pitt.edu 5 Sennott Square, -5 people.cs.pitt.edu/~milos/courses/cs75/ Administrivia Recitations Held on Wednesdays at :00am and :00pm This week: Matlab tutorial
More informationInverses. Stephen Boyd. EE103 Stanford University. October 28, 2017
Inverses Stephen Boyd EE103 Stanford University October 28, 2017 Outline Left and right inverses Inverse Solving linear equations Examples Pseudo-inverse Left and right inverses 2 Left inverses a number
More informationHandout for Adequacy of Solutions Chapter SET ONE The solution to Make a small change in the right hand side vector of the equations
Handout for dequac of Solutions Chapter 04.07 SET ONE The solution to 7.999 4 3.999 Make a small change in the right hand side vector of the equations 7.998 4.00 3.999 4.000 3.999 Make a small change in
More informationPROBLEMS In each of Problems 1 through 12:
6.5 Impulse Functions 33 which is the formal solution of the given problem. It is also possible to write y in the form 0, t < 5, y = 5 e (t 5/ sin 5 (t 5, t 5. ( The graph of Eq. ( is shown in Figure 6.5.3.
More informationReview of Linear Algebra
Review of Linear Algebra Definitions An m n (read "m by n") matrix, is a rectangular array of entries, where m is the number of rows and n the number of columns. 2 Definitions (Con t) A is square if m=
More informationA Review of Linear Algebra
A Review of Linear Algebra Gerald Recktenwald Portland State University Mechanical Engineering Department gerry@me.pdx.edu These slides are a supplement to the book Numerical Methods with Matlab: Implementations
More informationWilliam Stallings Copyright 2010
A PPENDIX E B ASIC C ONCEPTS FROM L INEAR A LGEBRA William Stallings Copyright 2010 E.1 OPERATIONS ON VECTORS AND MATRICES...2 Arithmetic...2 Determinants...4 Inverse of a Matrix...5 E.2 LINEAR ALGEBRA
More informationChapter 12: Iterative Methods
ES 40: Scientific and Engineering Computation. Uchechukwu Ofoegbu Temple University Chapter : Iterative Methods ES 40: Scientific and Engineering Computation. Gauss-Seidel Method The Gauss-Seidel method
More informationJanuary 18, 2008 Steve Gu. Reference: Eta Kappa Nu, UCLA Iota Gamma Chapter, Introduction to MATLAB,
Introduction to MATLAB January 18, 2008 Steve Gu Reference: Eta Kappa Nu, UCLA Iota Gamma Chapter, Introduction to MATLAB, Part I: Basics MATLAB Environment Getting Help Variables Vectors, Matrices, and
More information1. In this problem, if the statement is always true, circle T; otherwise, circle F.
Math 1553, Extra Practice for Midterm 3 (sections 45-65) Solutions 1 In this problem, if the statement is always true, circle T; otherwise, circle F a) T F If A is a square matrix and the homogeneous equation
More informationLinear Equations and Vectors
Chapter Linear Equations and Vectors Linear Algebra, Fall 6 Matrices and Systems of Linear Equations Figure. Linear Algebra, Fall 6 Figure. Linear Algebra, Fall 6 Figure. Linear Algebra, Fall 6 Unique
More informationFF505 Computational Science. Matrix Calculus. Marco Chiarandini
FF505 Computational Science Matrix Calculus Marco Chiarandini (marco@imada.sdu.dk) Department of Mathematics and Computer Science (IMADA) University of Southern Denmark Resume MATLAB, numerical computing
More informationLinear Equations in Linear Algebra
1 Linear Equations in Linear Algebra 1.4 THE MATRIX EQUATION A = b MATRIX EQUATION A = b m n Definition: If A is an matri, with columns a 1, n, a n, and if is in, then the product of A and, denoted by
More informationLinear Algebra and Matrices
Linear Algebra and Matrices 4 Overview In this chapter we studying true matrix operations, not element operations as was done in earlier chapters. Working with MAT- LAB functions should now be fairly routine.
More informationReview for Exam Find all a for which the following linear system has no solutions, one solution, and infinitely many solutions.
Review for Exam. Find all a for which the following linear system has no solutions, one solution, and infinitely many solutions. x + y z = 2 x + 2y + z = 3 x + y + (a 2 5)z = a 2 The augmented matrix for
More informationMatrix Operations: Determinant
Matrix Operations: Determinant Determinants Determinants are only applicable for square matrices. Determinant of the square matrix A is denoted as: det(a) or A Recall that the absolute value of the determinant
More informationChapter Adequacy of Solutions
Chapter 04.09 dequac of Solutions fter reading this chapter, ou should be able to: 1. know the difference between ill-conditioned and well-conditioned sstems of equations,. define the norm of a matri,
More informationDesigning Information Devices and Systems I Discussion 4B
Last Updated: 29-2-2 9:56 EECS 6A Spring 29 Designing Information Devices and Systems I Discussion 4B Reference Definitions: Matrices and Linear (In)Dependence We ve seen that the following statements
More informationCh. 7.1 Polynomial Degree & Finite Differences
Ch. 7.1 Polynomial Degree & Finite Differences Learning Intentions: Define terminology associated with polynomials: term, monomial, binomial & trinomial. Use the finite differences method to determine
More informationPresentation by: H. Sarper. Chapter 2 - Learning Objectives
Chapter Basic Linear lgebra to accompany Introduction to Mathematical Programming Operations Research, Volume, th edition, by Wayne L. Winston and Munirpallam Venkataramanan Presentation by: H. Sarper
More informationHANDOUT E.22 - EXAMPLES ON STABILITY ANALYSIS
Example 1 HANDOUT E. - EXAMPLES ON STABILITY ANALYSIS Determine the stability of the system whose characteristics equation given by 6 3 = s + s + 3s + s + s + s +. The above polynomial satisfies the necessary
More informationHomework 3 Solutions Math 309, Fall 2015
Homework 3 Solutions Math 39, Fall 25 782 One easily checks that the only eigenvalue of the coefficient matrix is λ To find the associated eigenvector, we have 4 2 v v 8 4 (up to scalar multiplication)
More informationUNIT 3. Rational Functions Limits at Infinity (Horizontal and Slant Asymptotes) Infinite Limits (Vertical Asymptotes) Graphing Rational Functions
UNIT 3 Rational Functions Limits at Infinity (Horizontal and Slant Asymptotes) Infinite Limits (Vertical Asymptotes) Graphing Rational Functions Recall From Unit Rational Functions f() is a rational function
More informationReview Let A, B, and C be matrices of the same size, and let r and s be scalars. Then
1 Sec 21 Matrix Operations Review Let A, B, and C be matrices of the same size, and let r and s be scalars Then (i) A + B = B + A (iv) r(a + B) = ra + rb (ii) (A + B) + C = A + (B + C) (v) (r + s)a = ra
More informationCSL361 Problem set 4: Basic linear algebra
CSL361 Problem set 4: Basic linear algebra February 21, 2017 [Note:] If the numerical matrix computations turn out to be tedious, you may use the function rref in Matlab. 1 Row-reduced echelon matrices
More information04-Economic Dispatch 2. EE570 Energy Utilization & Conservation Professor Henry Louie
04-Economic Dispatch EE570 Energy Utilization & Conservation Professor Henry Louie 1 Topics Example 1 Example Dr. Henry Louie Consider two generators with the following cost curves and constraints: C 1
More information0.1. Linear transformations
Suggestions for midterm review #3 The repetitoria are usually not complete; I am merely bringing up the points that many people didn t now on the recitations Linear transformations The following mostly
More informationArrays: Vectors and Matrices
Arrays: Vectors and Matrices Vectors Vectors are an efficient notational method for representing lists of numbers. They are equivalent to the arrays in the programming language "C. A typical vector might
More informationLU Factorization. A m x n matrix A admits an LU factorization if it can be written in the form of A = LU
LU Factorization A m n matri A admits an LU factorization if it can be written in the form of Where, A = LU L : is a m m lower triangular matri with s on the diagonal. The matri L is invertible and is
More informationModeling Revision Questions Set 1
Modeling Revision Questions Set. In an eperiment researchers found that a specific culture of bacteria increases in number according to the formula N = 5 2 t, where N is the number of bacteria present
More informationMatrices. VCE Maths Methods - Unit 2 - Matrices
Matrices Introduction to matrices Addition & subtraction Scalar multiplication Matri multiplication The unit matri Matri division - the inverse matri Using matrices - simultaneous equations Matri transformations
More informationMatrices. VCE Maths Methods - Unit 2 - Matrices
Matrices Introduction to matrices Addition subtraction Scalar multiplication Matri multiplication The unit matri Matri division - the inverse matri Using matrices - simultaneous equations Matri transformations
More informationA more accurate Briggs method for the logarithm
Numer Algor (2012) 59:393 402 DOI 10.1007/s11075-011-9496-z ORIGINAL PAPER A more accurate Briggs method for the logarithm Awad H. Al-Mohy Received: 25 May 2011 / Accepted: 15 August 2011 / Published online:
More information(Mathematical Operations with Arrays) Applied Linear Algebra in Geoscience Using MATLAB
Applied Linear Algebra in Geoscience Using MATLAB (Mathematical Operations with Arrays) Contents Getting Started Matrices Creating Arrays Linear equations Mathematical Operations with Arrays Using Script
More information[ Here 21 is the dot product of (3, 1, 2, 5) with (2, 3, 1, 2), and 31 is the dot product of
. Matrices A matrix is any rectangular array of numbers. For example 3 5 6 4 8 3 3 is 3 4 matrix, i.e. a rectangular array of numbers with three rows four columns. We usually use capital letters for matrices,
More information18.S34 linear algebra problems (2007)
18.S34 linear algebra problems (2007) Useful ideas for evaluating determinants 1. Row reduction, expanding by minors, or combinations thereof; sometimes these are useful in combination with an induction
More information1 2 2 Circulant Matrices
Circulant Matrices General matrix a c d Ax x ax + cx x x + dx General circulant matrix a x ax + x a x x + ax. Evaluating the Eigenvalues Find eigenvalues and eigenvectors of general circulant matrix: a
More informationLinear Equations in Linear Algebra
1 Linear Equations in Linear Algera 1.4 THE MATRIX EQUATION A MATRIX EQUATION A mn Definition: If A is an matri, with columns a 1,, a n, and if is in R n, then the product of A and, denoted y A, is the
More informationLast week we presented the following expression for the angles between two vectors u and v in R n ( ) θ = cos 1 u v
Orthogonality (I) Last week we presented the following expression for the angles between two vectors u and v in R n ( ) θ = cos 1 u v u v which brings us to the fact that θ = π/2 u v = 0. Definition (Orthogonality).
More informationLinear Algebra (Review) Volker Tresp 2017
Linear Algebra (Review) Volker Tresp 2017 1 Vectors k is a scalar (a number) c is a column vector. Thus in two dimensions, c = ( c1 c 2 ) (Advanced: More precisely, a vector is defined in a vector space.
More informationHomework Set #8 Solutions
Exercises.2 (p. 19) Homework Set #8 Solutions Assignment: Do #6, 8, 12, 14, 2, 24, 26, 29, 0, 2, 4, 5, 6, 9, 40, 42 6. Reducing the matrix to echelon form: 1 5 2 1 R2 R2 R1 1 5 0 18 12 2 1 R R 2R1 1 5
More informationI&C 6N. Computational Linear Algebra
I&C 6N Computational Linear Algebra 1 Lecture 1: Scalars and Vectors What is a scalar? Computer representation of a scalar Scalar Equality Scalar Operations Addition and Multiplication What is a vector?
More informationLecture 6: Spanning Set & Linear Independency
Lecture 6: Elif Tan Ankara University Elif Tan (Ankara University) Lecture 6 / 0 Definition (Linear Combination) Let v, v 2,..., v k be vectors in (V,, ) a vector space. A vector v V is called a linear
More informationAlgorithm Analysis Divide and Conquer. Chung-Ang University, Jaesung Lee
Algorithm Analysis Divide and Conquer Chung-Ang University, Jaesung Lee Introduction 2 Divide and Conquer Paradigm 3 Advantages of Divide and Conquer Solving Difficult Problems Algorithm Efficiency Parallelism
More informationSection 9.2: Matrices. Definition: A matrix A consists of a rectangular array of numbers, or elements, arranged in m rows and n columns.
Section 9.2: Matrices Definition: A matrix A consists of a rectangular array of numbers, or elements, arranged in m rows and n columns. That is, a 11 a 12 a 1n a 21 a 22 a 2n A =...... a m1 a m2 a mn A
More informationLinear Algebra (Review) Volker Tresp 2018
Linear Algebra (Review) Volker Tresp 2018 1 Vectors k, M, N are scalars A one-dimensional array c is a column vector. Thus in two dimensions, ( ) c1 c = c 2 c i is the i-th component of c c T = (c 1, c
More informationA. 16 B. 16 C. 4 D What is the solution set of 4x + 8 > 16?
Algebra II Honors Summer Math Packet 2017 Name: Date: 1. Solve for x: x + 6 = 5x + 12 2. What is the value of p in the equation 8p + 2 = p 10? F. 1 G. 1 H. J.. Solve for x: 15x (x + ) = 6 11. Solve for
More informationLesson U2.1 Study Guide
Lesson U2.1 Study Guide Sunday, June 3, 2018 2:05 PM Matrix operations, The Inverse of a Matrix and Matrix Factorization Reading: Lay, Sections 2.1, 2.2, 2.3 and 2.5 (about 24 pages). MyMathLab: Lesson
More informationBasics. A VECTOR is a quantity with a specified magnitude and direction. A MATRIX is a rectangular array of quantities
Some Linear Algebra Basics A VECTOR is a quantity with a specified magnitude and direction Vectors can exist in multidimensional space, with each element of the vector representing a quantity in a different
More information1 Last time: determinants
1 Last time: determinants Let n be a positive integer If A is an n n matrix, then its determinant is the number det A = Π(X, A)( 1) inv(x) X S n where S n is the set of n n permutation matrices Π(X, A)
More information235 Final exam review questions
5 Final exam review questions Paul Hacking December 4, 0 () Let A be an n n matrix and T : R n R n, T (x) = Ax the linear transformation with matrix A. What does it mean to say that a vector v R n is an
More informationApplied Mathematics Course Contents Matrices, linear systems Gauss-Jordan elimination, Determinants, Cramer's rule, inverse matrix.
Applied Mathematics Course Contents Matrices, linear systems Gauss-Jordan elimination, Determinants, Cramer's rule, inverse matri. Vector spaces, inner product and norm, linear transformations. Matri eigenvalue
More informationSOLUTIONS: ASSIGNMENT Use Gaussian elimination to find the determinant of the matrix. = det. = det = 1 ( 2) 3 6 = 36. v 4.
SOLUTIONS: ASSIGNMENT 9 66 Use Gaussian elimination to find the determinant of the matrix det 1 1 4 4 1 1 1 1 8 8 = det = det 0 7 9 0 0 0 6 = 1 ( ) 3 6 = 36 = det = det 0 0 6 1 0 0 0 6 61 Consider a 4
More informationDiagonalization. Hung-yi Lee
Diagonalization Hung-yi Lee Review If Av = λv (v is a vector, λ is a scalar) v is an eigenvector of A excluding zero vector λ is an eigenvalue of A that corresponds to v Eigenvectors corresponding to λ
More informationMixed Integer Linear Programming and Nonlinear Programming for Optimal PMU Placement
Mied Integer Linear Programg and Nonlinear Programg for Optimal PMU Placement Anas Almunif Department of Electrical Engineering University of South Florida, Tampa, FL 33620, USA Majmaah University, Al
More informationJEE/BITSAT LEVEL TEST
JEE/BITSAT LEVEL TEST Booklet Code A/B/C/D Test Code : 00 Matrices & Determinants Answer Key/Hints Q. i 0 A =, then A A is equal to 0 i (a.) I (b.) -ia (c.) -I (d.) ia i 0 i 0 0 Sol. We have AA I 0 i 0
More informationGet Solution of These Packages & Learn by Video Tutorials on Matrices
FEE Download Stud Package from website: wwwtekoclassescom & wwwmathsbsuhagcom Get Solution of These Packages & Learn b Video Tutorials on wwwmathsbsuhagcom Matrices An rectangular arrangement of numbers
More informationMATH.2720 Introduction to Programming with MATLAB Vector and Matrix Algebra
MATH.2720 Introduction to Programming with MATLAB Vector and Matrix Algebra A. Vectors A vector is a quantity that has both magnitude and direction, like velocity. The location of a vector is irrelevant;
More informationMATLAB BASICS. Instructor: Prof. Shahrouk Ahmadi. TA: Kartik Bulusu
MATLAB BASICS Instructor: Prof. Shahrouk Ahmadi 1. What are M-files TA: Kartik Bulusu M-files are files that contain a collection of MATLAB commands or are used to define new MATLAB functions. For the
More information33A Linear Algebra and Applications: Practice Final Exam - Solutions
33A Linear Algebra and Applications: Practice Final Eam - Solutions Question Consider a plane V in R 3 with a basis given by v = and v =. Suppose, y are both in V. (a) [3 points] If [ ] B =, find. (b)
More informationy x is symmetric with respect to which of the following?
AP Calculus Summer Assignment Name: Note: Unless otherwise specified, the domain of a function f is assumed to be the set of all real numbers for which f () is a real number. Part : Multiple Choice Solve
More informationMath 489AB Exercises for Chapter 2 Fall Section 2.3
Math 489AB Exercises for Chapter 2 Fall 2008 Section 2.3 2.3.3. Let A M n (R). Then the eigenvalues of A are the roots of the characteristic polynomial p A (t). Since A is real, p A (t) is a polynomial
More information12. Perturbed Matrices
MAT334 : Applied Linear Algebra Mike Newman, winter 208 2. Perturbed Matrices motivation We want to solve a system Ax = b in a context where A and b are not known exactly. There might be experimental errors,
More informationQuiz ) Locate your 1 st order neighbors. 1) Simplify. Name Hometown. Name Hometown. Name Hometown.
Quiz 1) Simplify 9999 999 9999 998 9999 998 2) Locate your 1 st order neighbors Name Hometown Me Name Hometown Name Hometown Name Hometown Solving Linear Algebraic Equa3ons Basic Concepts Here only real
More informationpset3-sol September 7, 2017
pset3-sol September 7, 2017 1 18.06 pset 3 Solutions 1.1 Problem 1 Suppose that you solve AX = B with and find that X is 1 1 1 1 B = 0 2 2 2 1 1 0 1 1 1 0 1 X = 1 0 1 3 1 0 2 1 1.1.1 (a) What is A 1? (You
More informationChapter 2: Approximating Solutions of Linear Systems
Linear of Chapter 2: Solutions of Linear Peter W. White white@tarleton.edu Department of Mathematics Tarleton State University Summer 2015 / Numerical Analysis Overview Linear of Linear of Linear of Linear
More informationChapter Contents. A 1.6 Further Results on Systems of Equations and Invertibility 1.7 Diagonal, Triangular, and Symmetric Matrices
Chapter Contents. Introduction to System of Linear Equations. Gaussian Elimination.3 Matrices and Matri Operations.4 Inverses; Rules of Matri Arithmetic.5 Elementary Matrices and a Method for Finding A.6
More informationLinear Equations in Linear Algebra
1 Linear Equations in Linear Algebra 1.7 LINEAR INDEPENDENCE LINEAR INDEPENDENCE Definition: An indexed set of vectors {v 1,, v p } in n is said to be linearly independent if the vector equation x x x
More informationEigenvalues and Eigenvectors
5 Eigenvalues and Eigenvectors 5.2 THE CHARACTERISTIC EQUATION DETERMINANATS n n Let A be an matrix, let U be any echelon form obtained from A by row replacements and row interchanges (without scaling),
More informationFind the solution set of 2x 3y = 5. Answer: We solve for x = (5 + 3y)/2. Hence the solution space consists of all vectors of the form
Math 2 Homework #7 March 4, 2 7.3.3. Find the solution set of 2x 3y = 5. Answer: We solve for x = (5 + 3y/2. Hence the solution space consists of all vectors of the form ( ( ( ( x (5 + 3y/2 5/2 3/2 x =
More information17. 8x and 4x 2 > x 1 < 7 and 6x x or 2x x 7 < 3 and 8x x 9 9 and 5x > x + 3 < 3 or 8x 2
Section 1.4 Compound Inequalities 6 1.4 Exercises In Exercises 1-12, solve the inequality. Express your answer in both interval and set notations, and shade the solution on a number line. 1. 8x 16x 1 2.
More informationPOLI270 - Linear Algebra
POLI7 - Linear Algebra Septemer 8th Basics a x + a x +... + a n x n b () is the linear form where a, b are parameters and x n are variables. For a given equation such as x +x you only need a variable and
More information2/7/2013. Topics. 15-System Model Text: One-Line Diagram. One-Line Diagram
/7/013 Topics 15-ystem Model Text: 5.8 5.11 One-line Diagram ystem Modeling Regulating Transformers ECEGR 451 Power ystems Dr. Henry Louie 1 Dr. Henry Louie Generator us Transformer Transmission line Circuit
More informationApplication 8.3 Automating the Frobenius Series Method
Application 8.3 Automating the Frobenius Series Method Here we illustrate the use of a computer algebra system to apply the method of Frobenius. In the paragraphs that follow, we consider the differential
More informationInequalities. Some problems in algebra lead to inequalities instead of equations.
1.6 Inequalities Inequalities Some problems in algebra lead to inequalities instead of equations. An inequality looks just like an equation except that, in the place of the equal sign is one of these symbols:
More informationRecall : Eigenvalues and Eigenvectors
Recall : Eigenvalues and Eigenvectors Let A be an n n matrix. If a nonzero vector x in R n satisfies Ax λx for a scalar λ, then : The scalar λ is called an eigenvalue of A. The vector x is called an eigenvector
More informationNow, if you see that x and y are present in both equations, you may write:
Matrices: Suppose you have two simultaneous equations: y y 3 () Now, if you see that and y are present in both equations, you may write: y 3 () You should be able to see where the numbers have come from.
More informationLinear Algebra review Powers of a diagonalizable matrix Spectral decomposition
Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition Prof. Tesler Math 283 Fall 2016 Also see the separate version of this with Matlab and R commands. Prof. Tesler Diagonalizing
More informationMATHEMATICAL FUNDAMENTALS I. Michele Fitzpatrick
MTHEMTICL FUNDMENTLS I Michele Fitpatrick OVERVIEW Vectors and arras Matrices Linear algebra Del( operator Tensors DEFINITIONS vector is a single row or column of numbers. n arra is a collection of vectors
More informationLecture 12 (Tue, Mar 5) Gaussian elimination and LU factorization (II)
Math 59 Lecture 2 (Tue Mar 5) Gaussian elimination and LU factorization (II) 2 Gaussian elimination - LU factorization For a general n n matrix A the Gaussian elimination produces an LU factorization if
More informationChapter 2: Numeric, Cell, and Structure Arrays
Chapter 2: Numeric, Cell, and Structure Arrays Topics Covered: Vectors Definition Addition Multiplication Scalar, Dot, Cross Matrices Row, Column, Square Transpose Addition Multiplication Scalar-Matrix,
More informationDimension. Eigenvalue and eigenvector
Dimension. Eigenvalue and eigenvector Math 112, week 9 Goals: Bases, dimension, rank-nullity theorem. Eigenvalue and eigenvector. Suggested Textbook Readings: Sections 4.5, 4.6, 5.1, 5.2 Week 9: Dimension,
More informationName. SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
REVIEW Eam #3 : 3.2-3.6, 4.1-4.5, 5.1 Name SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Use the Leading Coefficient Test to determine the end behavior
More informationUNIT 3. Recall From Unit 2 Rational Functions
UNIT 3 Recall From Unit Rational Functions f() is a rational function if where p() and q() are and. Rational functions often approach for values of. Rational Functions are not graphs There various types
More informationand let s calculate the image of some vectors under the transformation T.
Chapter 5 Eigenvalues and Eigenvectors 5. Eigenvalues and Eigenvectors Let T : R n R n be a linear transformation. Then T can be represented by a matrix (the standard matrix), and we can write T ( v) =
More informationLecture 7 and 8. Fall EE 105, Feedback Control Systems (Prof. Khan) September 30 and October 05, 2015
1 Lecture 7 and 8 Fall 2015 - EE 105, Feedback Control Systems (Prof Khan) September 30 and October 05, 2015 I CONTROLLABILITY OF AN DT-LTI SYSTEM IN k TIME-STEPS The DT-LTI system is given by the following
More informationAlgebra 2 Matrices. Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Find.
Algebra 2 Matrices Review Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Find. Evaluate the determinant of the matrix. 2. 3. A matrix contains 48 elements.
More information12/31/2010. Digital Operations and Computations Course Notes. 01-Number Systems Text: Unit 1. Overview. What is a Digital System?
Digital Operations and Computations Course Notes 0-Number Systems Text: Unit Winter 20 Professor H. Louie Department of Electrical & Computer Engineering Seattle University ECEGR/ISSC 20 Digital Operations
More informationLINEAR ALGEBRA, VECTOR ALGEBRA AND ANALYTICAL GEOMETRY
ФЕДЕРАЛЬНОЕ АГЕНТСТВО ПО ОБРАЗОВАНИЮ Государственное образовательное учреждение высшего профессионального образования «ТОМСКИЙ ПОЛИТЕХНИЧЕСКИЙ УНИВЕРСИТЕТ» VV Konev LINER LGEBR, VECTOR LGEBR ND NLYTICL
More information